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DBMS > GridDB vs. InfinityDB vs. LeanXcale vs. Manticore Search

System Properties Comparison GridDB vs. InfinityDB vs. LeanXcale vs. Manticore Search

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Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonInfinityDB  Xexclude from comparisonLeanXcale  Xexclude from comparisonManticore Search  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataA Java embedded Key-Value Store which extends the Java Map interfaceA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesMulti-storage database for search, including full-text search.
Primary database modelTime Series DBMSKey-value storeKey-value store
Relational DBMS
Search engine
Secondary database modelsKey-value store
Relational DBMS
Time Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score0.08
Rank#365  Overall
#55  Key-value stores
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Score0.29
Rank#302  Overall
#21  Search engines
Websitegriddb.netboilerbay.comwww.leanxcale.commanticoresearch.com
Technical documentationdocs.griddb.netboilerbay.com/­infinitydb/­manualmanual.manticoresearch.com
DeveloperToshiba CorporationBoiler Bay Inc.LeanXcaleManticore Software
Initial release2013200220152017
Current release5.1, August 20224.06.0, February 2023
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercialcommercialOpen Source infoGPL version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC++
Server operating systemsLinuxAll OS with a Java VMFreeBSD
Linux
macOS
Windows
Data schemeyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyesFixed schema
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Boolean
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonoCan index from XML
Secondary indexesyesno infomanual creation possible, using inversions based on multi-value capabilityyes infofull-text index on all search fields
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)noyes infothrough Apache DerbySQL-like query language
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
JavaC
Java
Scala
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresnonouser defined functions
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneSynchronous replication based on Galera library
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate Consistency
Foreign keys infoReferential integritynono infomanual creation possible, using inversions based on multi-value capabilityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelACID infoOptimistic locking for transactions; no isolation for bulk loadsACIDyes infoisolated transactions for atomic changes and binary logging for safe writes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Manticore index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAccess rights for users can be defined per databasenono
More information provided by the system vendor
GridDBInfinityDBLeanXcaleManticore Search
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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More resources
GridDBInfinityDBLeanXcaleManticore Search
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